At Qualytics, we help organizations trust the data their business runs on. Our data trust platform brings data quality, master data management, data observability, and data catalog together in one place, with data quality at its core. We go beyond surface-level checks to assess data row by row, deriving expectations directly from the data and surfacing findings from the first scan, so teams catch silent errors, unexpected changes, and anomalies before they cause real-world consequences.
We work with some of the most forward-thinking organizations in the world, where trusted data has a direct impact on performance, compliance, and strategic decisions. Joining Qualytics means collaborating with top-tier data professionals on high-stakes, deeply complex challenges, at a company building an independent platform in a category that is consolidating fast. If you care about trust, rigor, and solving foundational problems that power how the world works, let's talk.
Role OverviewReporting to the Head of Marketing, you’ll partner closely with product, sales, and forward-deployed engineering to bring our positioning to life, support product launches, and enable our go-to-market teams to win. You’ll play a key role in refining how we communicate what makes Qualytics different to enterprise buyers, particularly in data-intensive industries like financial services, insurance, healthcare, and supply chain.
What You’ll Do:Develop and evolve our positioning and messaging across verticals: Translate technical capabilities into clear, differentiated messaging tailored to enterprise data buyers.
Drive sales enablement: Develop compelling collateral, pitch decks, competitive battlecards, and training to support the GTM team.
Lead product launches and customer communication: Partner with product and marketing teams to develop launch messaging and coordinate cross-functional rollouts.
Develop competitive insights: Stay close to the market and translate insights into messaging, sales enablement, and go-to-market programs.
Be the voice of the buyer: Partner with sales and customer-facing teams to understand buyer needs, objections, and use cases, and feed those insights back into messaging and product planning.
5-7 years of product marketing experience at a SaaS company
Experience working at a data quality, observability, or analytics company is highly desirable
Experience operating in early- to mid-stage venture-backed SaaS companies
Exceptional storytelling and communication skills with the ability to turn complex data, technology, and concepts into clear communications
Ability to collaborate effectively across product, sales, and marketing teams
Highly hands-on: comfortable creating content, messaging, and enablement assets directly
Growth mindset: comfortable with undefined processes and experimentation; excited to work on new initiatives that fuel growth
We’re flexible, honest, and collaborative. We support and challenge one another. We’re united by curiosity and rigor. And we’re lifelong learners, always pursuing personal and professional growth.
Competitive salary and equity—we pay for excellence
Unlimited vacation and company-wide holidays
Medical, dental, vision, and other insurance benefits
Opportunities for conference attendance and public speaking
Fun, remote-friendly culture with Slack GIF wars and team camaraderie
Note: Remote within the U.S. and Canada; no visa sponsorship available
Skills Required
- 5–7 years of product marketing experience at a SaaS company
- Experience operating in early- to mid-stage venture-backed SaaS companies
- Exceptional storytelling and communication skills, including the ability to explain complex data and technology concepts clearly
- Ability to collaborate effectively across product, sales, and marketing teams
- Hands-on ability to create content, messaging, and sales enablement assets directly
- Comfort with undefined processes, experimentation, and growth-oriented initiatives
- Experience at a data quality, data observability, or analytics company
What We Do
Qualytics seamlessly connects to your databases, warehouses, and source systems, proactively improving data quality through anomaly detection, signaling and workflow.
